DEVOPS

Scheduled production canary that auto-rolls-back on visual breakage

On a schedule, screenshots live production routes, diffs them against the last known-good snapshot.

CategoryDevOps
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule: every N minutes
  • ActionScreenshot live production routesBrowserbase
  • ActionDiff against last known-good snapshotCloudflareCloudflare R2
  • LogicBranch: breakage over rollback threshold?
  • ActionRoll Vercel back to previous deploymentVercelVercel
  • OutputAlert Discord with broken screenshotsDiscordDiscord

What it does

This workflow watches production itself, not just previews. On a recurring schedule it captures the live site's critical routes, compares them to the last known-good snapshot, and if a route has visually broken since the last promotion, it rolls Vercel back to the prior deployment and announces what happened. It catches regressions that only appear with production data or env vars.

When to use it

Use it as a safety net when previews look fine but production breaks due to live data, feature flags, or CDN state. It suits teams who promote frequently and want an automatic undo rather than waiting for a customer to report a broken page.

How it works

  1. 1A schedule fires every few minutes during business hours.
  2. 2A headless browser captures the live production routes.
  3. 3Each shot is diffed against the last known-good snapshot in object storage.
  4. 4A branch checks whether breakage exceeds the rollback threshold.
  5. 5If so, the workflow calls Vercel to promote the previous good deployment.
  6. 6Discord receives the rollback notice with the broken screenshots; otherwise the snapshot is refreshed.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BrowserbaseHeadless browsers, sessions, replays.
  2. 2
    Connect Cloudflare R2Object storage, S3-compatible.
  3. 3
    Connect VercelDeploys, runtime logs, analytics.
  4. 4
    Connect DiscordCommunity channels + voice + bots.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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